marketing technology
PR Newswire
Published on : Feb 11, 2026
The Cinelytic Group is doubling down on the idea that gut instinct alone isn’t enough to market modern entertainment. The AI-powered analytics firm this week introduced SocialSense360, a new tool designed to help studios and streaming platforms understand how audiences are reacting to trailers, teasers, and other promotional assets—within hours of release.
In an industry where opening weekend performance can make or break a project, speed matters. SocialSense360 aims to shorten the feedback loop between audience reaction and marketing decision-making, turning social chatter and engagement signals into actionable campaign adjustments in near real time.
Studios have long tracked trailer views, likes, and shares as rough indicators of interest. But those metrics often lack depth. A trailer can rack up millions of views while quietly generating confusion or backlash in the comments section.
SocialSense360 goes further. The platform automatically analyzes audience sentiment and emotional tone—detecting signals such as joy, anticipation, anger, fear, and even confusion. It then benchmarks those reactions against comparable releases to contextualize performance.
The result isn’t just a dashboard of feelings. It’s a set of recommendations.
“With SocialSense360, marketing teams can see exactly how audiences are responding to trailers and teasers instantly and turn that feedback into effective campaign actions,” said Tobias Queisser, Co-Founder and CEO of The Cinelytic Group. He describes the platform as a way to “close the gap between audience reactions and marketing decisions,” particularly at a time when audience sentiment can shift quickly across social platforms.
The system identifies key positive, neutral, and negative feedback narratives influencing perception. It then suggests campaign activations—such as emphasizing a breakout character, clarifying genre positioning, or adjusting messaging around tone—that marketers can deploy immediately.
AI-driven sentiment analysis isn’t new. Platforms like Brandwatch, Sprinklr, and Talkwalker have long offered social listening tools to brands. What distinguishes SocialSense360 is its industry-specific focus and its integration into the entertainment content lifecycle.
Cinelytic has built its reputation providing predictive analytics and greenlight decision support for film and television. SocialSense360 extends that data-driven philosophy into the marketing phase, targeting the critical period between trailer drop and release.
Detailed reports are delivered within hours of a trailer launch, followed by continued tracking over the first two weeks—a window when conversation typically peaks and marketing pivots are most impactful.
That timing is strategic. Studios increasingly rely on digital-first campaigns, and early sentiment can inform media buying decisions, creative edits, influencer outreach, and even last-minute messaging tweaks.
In the streaming era, where subscriber churn is constant and attention spans are fragmented, converting trailer engagement into actual viewership is the new battleground. A spike in anticipation might justify ramping up paid amplification. A wave of confusion might signal the need for explanatory clips or cast interviews.
Cinelytic positions SocialSense360 as a streamlined solution for marketing teams juggling multiple releases. The platform consolidates sentiment analysis, emotional tracking, benchmarking, and campaign guidance into a single interface.
It supports multiple use cases:
Single-trailer analysis for theatrical or streaming releases
Full campaign tracking across multiple promotional drops
Slate-level subscriptions for studios and distributors managing multiple titles
That flexibility reflects broader industry trends. Studios now market theatrical films, streaming originals, and hybrid releases simultaneously. Agencies must track campaigns across YouTube, TikTok, Instagram, X, and emerging platforms—each with distinct audience behaviors.
A centralized intelligence layer could reduce reliance on fragmented reporting from disparate social tools.
Hollywood has been steadily embracing AI across development, production, and distribution. From script analysis tools to box office forecasting engines, predictive analytics are reshaping how decisions are made.
Marketing is the next logical frontier.
Recent years have demonstrated how quickly audience sentiment can influence performance. Social backlash has derailed campaigns. Viral enthusiasm has elevated surprise hits. Meanwhile, the rise of fan-driven platforms like TikTok has amplified both praise and criticism at unprecedented speed.
In that environment, waiting days—or even weeks—for comprehensive reports can mean missing the moment.
Rival analytics platforms are also pushing toward real-time intelligence. Entertainment-specific data providers such as Parrot Analytics and ListenFirst Media offer audience demand tracking and digital performance measurement. SocialSense360 enters that competitive landscape with a narrower, campaign-focused value proposition: immediate emotional insight tied directly to actionable marketing guidance.
For studios, the stakes are enormous. Marketing budgets for major theatrical releases can rival production costs. Streaming platforms, meanwhile, depend on strong launch engagement to justify subscriber acquisition spending.
If SocialSense360 can reliably translate emotional data into improved conversion rates—whether that means ticket sales or streaming starts—it could become a critical layer in modern campaign strategy.
The broader implication is clear: creative marketing may remain an art, but it is increasingly guided by science.
By compressing the time between audience reaction and campaign adjustment, Cinelytic is betting that smarter, faster feedback loops will help studios maximize the return on every release.
Whether SocialSense360 becomes a must-have tool or simply another dashboard in an already crowded analytics stack will depend on how effectively it delivers measurable performance gains. But in an era defined by instant reactions and algorithm-driven visibility, real-time emotional intelligence may be less of a luxury—and more of a necessity.
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